Nonlinear Least Squares Problems Using Approximate Greatest Descent Method

Nonlinear Least Squares Problems Using Approximate Greatest Descent Method

Many numerical methods have been developed and modified to solve nonlinear least squares (NLS) problems as unconstrained optimization problems. One of the challenges regarding the existing numerical methods in solving NLS problems is expensive computation of the Hessian matrix at every iteration. He...

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書目詳細資料
發表在:Proceedings - 2022 International Conference on Computer and Drone Applications, IConDA 2022
主要作者: 2-s2.0-85146657825
格式: Conference paper
語言:English
出版: Institute of Electrical and Electronics Engineers Inc. 2022
在線閱讀:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146657825&doi=10.1109%2fICONDA56696.2022.10000382&partnerID=40&md5=54db9497ee051201347ecb910204daab

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146657825&doi=10.1109%2fICONDA56696.2022.10000382&partnerID=40&md5=54db9497ee051201347ecb910204daab

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